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Bank Data Analytics Jobs in Springfield, IL (NOW HIRING)

... data for the moderate and high-risk customer portfolio. • Compiles and reviews transactional and ... Strong analytical, problem solving and conceptual skills. Ability to work with little supervision ...

New

Credit Review Manager

Chatham, IL · On-site

$110K - $150K/yr

... Bank Leadership * Prepare written analyses on all large loans, large aggregate lending to one ... Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to ...

... Bank Leadership * Prepare written analyses on all large loans, large aggregate lending to one ... Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to ...

E-Services Associate

Auburn, IL

$15.75 - $20.75/hr

... bank information * Problem Solving/Analysis skills * Ability to communicate effectively and ... Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to ...

E-Services Associate

Auburn, IL

$15.75 - $20.75/hr

... bank information * Problem Solving/Analysis skills * Ability to communicate effectively and ... Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to ...

E-Services Associate

Auburn, IL · On-site

$17 - $20/hr

... bank information * Problem Solving/Analysis skills * Ability to communicate effectively and ... Ability to define problems, collect data, establish facts, and draw valid conclusions * Ability to ...

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Bank Data Analytics information

Do banks use data analysts?

Yes, banks employ data analysts to interpret financial data, assess risk, detect fraud, and support decision-making. These professionals often use tools like SQL, Excel, and data visualization software to analyze large datasets and improve banking operations.

How does a Bank Data Analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What does a data analyst do in banking?

A data analyst in banking collects, processes, and analyzes financial data to identify trends, support decision-making, and improve operational efficiency. They often use tools like Excel, SQL, and data visualization software to interpret large datasets and generate reports for management and compliance purposes.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a Bank Data Analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

Can a data analyst work at a bank?

Yes, a data analyst can work at a bank, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial concepts.

What is the salary of data analyst in JP Morgan?

The salary of a data analyst at JP Morgan typically ranges from $60,000 to $90,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher compensation. Benefits often include bonuses, health insurance, and opportunities for professional development.
What are popular job titles related to Bank Data Analytics jobs in Springfield, IL? For Bank Data Analytics jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Bank Data Analytics jobs in Springfield, IL look for? The top searched job categories for Bank Data Analytics jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Bank Data Analytics jobs? Cities near Springfield, IL with the most Bank Data Analytics job openings:
Vice President of Data Analytics

Vice President of Data Analytics

Heartland Credit Union

Springfield, IL • On-site

Full-time

Posted 28 days ago


Job description

Heartland Credit Union is seeking a forward-thinking Vice President of Data Analytics to lead the organization's enterprise data strategy and transform data into actionable business intelligence.  This role will partner closely with executive leadership to deliver insights that improve member experience, drive growth, support strategic decision making, and enhance operational performance.  The VP will oversee enterprise reporting, dashboard development, data governance, business intelligence initiatives, predictive analytics, and the advancement of modern cloud-based analytics capabilities.

The ideal candidate will have 5-8+ years of experience in data analytics, business intelligence, financial analytics, or enterprise reporting, with strong experience working directly with executive leadership.  Candidates should possess expertise in Power BI, SQL, Tableau, cloud-based data environments, and financial services data ecosystems.  Experience within a credit union, banking or fintech environment is strongly preferred.  A bachelor's degree in Analytics, Business, Finance, Statistics, Computer Science or a related field is required, while advanced degrees and industry certifications in analytics, cloud technologies, project management, or data engineering are preferred.